.travis.yml

notifications:
    email:false

language: cpp

os:
  - linux
  
dist:
  # Request Ubuntu 16 as linux
  - xenial
compiler: 
  - gcc
  
# safelist
# branches:
#  except:
#    - gh-pages
    
before_install:
  # Setup the repository. Qt 5.9 on linux.
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo add-apt-repository ppa:beineri/opt-qt59-xenial -y; fi
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt update -qq; fi
  # On linux also get a newer g++. The old one won't work.
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo add-apt-repository -y ppa:ubuntu-toolchain-r/test; fi
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt update -qq; fi
  
install:
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install -qq qt59base; source /opt/qt59/bin/qt59-env.sh; fi
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install build-essential; fi
  # On linux, install the new g++ version
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install -qq g++-7; fi
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-7 90; fi
  # SDL2
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install libsdl2-2.0-0 libsdl2-dev; fi
  # FFmpeg
  #- if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install ffmpeg; fi
  #- if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install libavcodec-dev; fi
  #- if [ "$TRAVIS_OS_NAME" = "linux" ]; then sudo apt install libavdevice-dev; fi
  # ubuntu上面的FFmpeg库比较老，工程中有的接口不支持
  # 解决办法 1.上传相应版本的库至github，这样下载的时候回很慢 2.使用命令下载最新的FFmpeg源码编译安装，这样CI编译会很慢
  - if [ "$TRAVIS_OS_NAME" = "linux" ]; then git clone -b release/3.4 https://github.com/FFmpeg/FFmpeg.git ffmpeg-3.4; fi

script:

  cd ffmpeg-3.4
  ./configure
  sudo apt-get install yasm
  make
  sudo make install
  ffmpeg -version
  cd ..
  
  
  # Run qmake and make
  - cd playerdemo
  - qmake
  - make

before_deploy:
  # Here we could package something, create zips and so on.

deploy:
  # We need the compiled files
  # skip_cleanup: true
  # Here we can deploy. Or it could be done in the before_deploy or after_success steps.